Overview

Dataset statistics

Number of variables31
Number of observations43610
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 MiB
Average record size in memory248.0 B

Variable types

DateTime1
Categorical14
Numeric16

Alerts

Error 3 has constant value "0" Constant
SoH has constant value "100" Constant
Control detail 2 has constant value "0" Constant
Max discharge current has constant value "2000" Constant
Accel-X (mg) has constant value "0.0" Constant
Accel-Y (mg) has constant value "0.0" Constant
Accel-Z (mg) has constant value "0.0" Constant
Warning 1 is highly correlated with Error 1High correlation
Warning 2 is highly correlated with Error 2High correlation
Error 1 is highly correlated with Warning 1High correlation
Error 2 is highly correlated with Warning 2High correlation
Max cell voltage is highly correlated with Min cell voltage and 7 other fieldsHigh correlation
Min cell voltage is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Average cell voltage is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Pack voltage is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Discharge current is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Max battery temperature is highly correlated with Min battery temperature and 4 other fieldsHigh correlation
Min battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Average battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Max board temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Min board temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Average board temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Remaining capacity is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
SoC is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
GO detail is highly correlated with Max cell voltage and 8 other fieldsHigh correlation
Control detail 1 is highly correlated with GO detailHigh correlation
Max charge current is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Warning 1 is highly correlated with Error 1High correlation
Warning 2 is highly correlated with Error 2High correlation
Error 1 is highly correlated with Warning 1High correlation
Error 2 is highly correlated with Warning 2High correlation
Max cell voltage is highly correlated with Min cell voltage and 9 other fieldsHigh correlation
Min cell voltage is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Average cell voltage is highly correlated with Max cell voltage and 9 other fieldsHigh correlation
Pack voltage is highly correlated with Max cell voltage and 9 other fieldsHigh correlation
Max battery temperature is highly correlated with Min battery temperature and 4 other fieldsHigh correlation
Min battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Average battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Max board temperature is highly correlated with Max cell voltage and 8 other fieldsHigh correlation
Min board temperature is highly correlated with Max battery temperature and 5 other fieldsHigh correlation
Average board temperature is highly correlated with Max cell voltage and 8 other fieldsHigh correlation
Remaining capacity is highly correlated with Max cell voltage and 6 other fieldsHigh correlation
SoC is highly correlated with Max cell voltage and 6 other fieldsHigh correlation
GO detail is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Control detail 1 is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Max charge current is highly correlated with Max cell voltage and 8 other fieldsHigh correlation
Warning 1 is highly correlated with Error 1High correlation
Warning 2 is highly correlated with Error 2High correlation
Error 1 is highly correlated with Warning 1High correlation
Error 2 is highly correlated with Warning 2High correlation
Max cell voltage is highly correlated with Min cell voltage and 7 other fieldsHigh correlation
Min cell voltage is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Average cell voltage is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Pack voltage is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Discharge current is highly correlated with Max cell voltage and 4 other fieldsHigh correlation
Max battery temperature is highly correlated with Min battery temperature and 4 other fieldsHigh correlation
Min battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Average battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Max board temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Min board temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Average board temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Remaining capacity is highly correlated with Max cell voltage and 6 other fieldsHigh correlation
SoC is highly correlated with Max cell voltage and 6 other fieldsHigh correlation
GO detail is highly correlated with Max cell voltage and 7 other fieldsHigh correlation
Max charge current is highly correlated with Max cell voltage and 6 other fieldsHigh correlation
Accel-Z (mg) is highly correlated with Warning 2 and 12 other fieldsHigh correlation
Warning 2 is highly correlated with Accel-Z (mg) and 7 other fieldsHigh correlation
SoH is highly correlated with Accel-Z (mg) and 12 other fieldsHigh correlation
Error 2 is highly correlated with Accel-Z (mg) and 7 other fieldsHigh correlation
Accel-Y (mg) is highly correlated with Accel-Z (mg) and 12 other fieldsHigh correlation
GO detail is highly correlated with Accel-Z (mg) and 7 other fieldsHigh correlation
Warning 3 is highly correlated with Accel-Z (mg) and 6 other fieldsHigh correlation
Accel-X (mg) is highly correlated with Accel-Z (mg) and 12 other fieldsHigh correlation
Warning 1 is highly correlated with Accel-Z (mg) and 8 other fieldsHigh correlation
Error 3 is highly correlated with Accel-Z (mg) and 12 other fieldsHigh correlation
Max discharge current is highly correlated with Accel-Z (mg) and 12 other fieldsHigh correlation
Control detail 2 is highly correlated with Accel-Z (mg) and 12 other fieldsHigh correlation
Error 1 is highly correlated with Accel-Z (mg) and 8 other fieldsHigh correlation
Control detail 1 is highly correlated with Accel-Z (mg) and 9 other fieldsHigh correlation
Warning 1 is highly correlated with Error 1 and 6 other fieldsHigh correlation
Warning 2 is highly correlated with Error 2High correlation
Error 1 is highly correlated with Warning 1 and 6 other fieldsHigh correlation
Error 2 is highly correlated with Warning 2High correlation
Max cell voltage is highly correlated with Warning 1 and 13 other fieldsHigh correlation
Min cell voltage is highly correlated with Warning 1 and 14 other fieldsHigh correlation
Average cell voltage is highly correlated with Warning 1 and 14 other fieldsHigh correlation
Pack voltage is highly correlated with Warning 1 and 14 other fieldsHigh correlation
Charge current is highly correlated with Max cell voltage and 5 other fieldsHigh correlation
Discharge current is highly correlated with Min cell voltage and 2 other fieldsHigh correlation
Max battery temperature is highly correlated with Min battery temperature and 4 other fieldsHigh correlation
Min battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Average battery temperature is highly correlated with Max battery temperature and 4 other fieldsHigh correlation
Max board temperature is highly correlated with Max cell voltage and 10 other fieldsHigh correlation
Min board temperature is highly correlated with Max cell voltage and 10 other fieldsHigh correlation
Average board temperature is highly correlated with Max cell voltage and 10 other fieldsHigh correlation
Remaining capacity is highly correlated with Max cell voltage and 8 other fieldsHigh correlation
Full Charge Capacity is highly correlated with Remaining capacity and 1 other fieldsHigh correlation
SoC is highly correlated with Max cell voltage and 8 other fieldsHigh correlation
GO detail is highly correlated with Max cell voltage and 11 other fieldsHigh correlation
Control detail 1 is highly correlated with Warning 1 and 10 other fieldsHigh correlation
Max charge current is highly correlated with Warning 1 and 12 other fieldsHigh correlation
time has unique values Unique
Charge current has 40550 (93.0%) zeros Zeros
Discharge current has 19376 (44.4%) zeros Zeros

Reproduction

Analysis started2022-06-20 07:50:06.840827
Analysis finished2022-06-20 07:51:12.091308
Duration1 minute and 5.25 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

time
Date

UNIQUE

Distinct43610
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
Minimum2022-05-07 00:00:02
Maximum2022-06-06 08:35:52
Histogram with fixed size bins (bins=50)

Warning 1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0
43412 
40
 
152
32
 
46

Length

Max length2
Median length1
Mean length1.004540243
Min length1

Characters and Unicode

Total characters43808
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
043412
99.5%
40152
 
0.3%
3246
 
0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
043412
99.5%
40152
 
0.3%
3246
 
0.1%

Most occurring characters

ValueCountFrequency (%)
043564
99.4%
4152
 
0.3%
346
 
0.1%
246
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number43808
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
043564
99.4%
4152
 
0.3%
346
 
0.1%
246
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common43808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
043564
99.4%
4152
 
0.3%
346
 
0.1%
246
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII43808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
043564
99.4%
4152
 
0.3%
346
 
0.1%
246
 
0.1%

Warning 2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0
43606 
32
 
3
128
 
1

Length

Max length3
Median length1
Mean length1.000114653
Min length1

Characters and Unicode

Total characters43615
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
043606
> 99.9%
323
 
< 0.1%
1281
 
< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
043606
> 99.9%
323
 
< 0.1%
1281
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
043606
> 99.9%
24
 
< 0.1%
33
 
< 0.1%
11
 
< 0.1%
81
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number43615
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
043606
> 99.9%
24
 
< 0.1%
33
 
< 0.1%
11
 
< 0.1%
81
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common43615
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
043606
> 99.9%
24
 
< 0.1%
33
 
< 0.1%
11
 
< 0.1%
81
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII43615
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
043606
> 99.9%
24
 
< 0.1%
33
 
< 0.1%
11
 
< 0.1%
81
 
< 0.1%

Warning 3
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0
43608 
64
 
2

Length

Max length2
Median length1
Mean length1.000045861
Min length1

Characters and Unicode

Total characters43612
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
043608
> 99.9%
642
 
< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
043608
> 99.9%
642
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
043608
> 99.9%
62
 
< 0.1%
42
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number43612
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
043608
> 99.9%
62
 
< 0.1%
42
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common43612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
043608
> 99.9%
62
 
< 0.1%
42
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII43612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
043608
> 99.9%
62
 
< 0.1%
42
 
< 0.1%

Error 1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0
43421 
40
 
151
32
 
38

Length

Max length2
Median length1
Mean length1.004333868
Min length1

Characters and Unicode

Total characters43799
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
043421
99.6%
40151
 
0.3%
3238
 
0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
043421
99.6%
40151
 
0.3%
3238
 
0.1%

Most occurring characters

ValueCountFrequency (%)
043572
99.5%
4151
 
0.3%
338
 
0.1%
238
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number43799
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
043572
99.5%
4151
 
0.3%
338
 
0.1%
238
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common43799
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
043572
99.5%
4151
 
0.3%
338
 
0.1%
238
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII43799
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
043572
99.5%
4151
 
0.3%
338
 
0.1%
238
 
0.1%

Error 2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0
43609 
128
 
1

Length

Max length3
Median length1
Mean length1.000045861
Min length1

Characters and Unicode

Total characters43612
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
043609
> 99.9%
1281
 
< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
043609
> 99.9%
1281
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
043609
> 99.9%
11
 
< 0.1%
21
 
< 0.1%
81
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number43612
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
043609
> 99.9%
11
 
< 0.1%
21
 
< 0.1%
81
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common43612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
043609
> 99.9%
11
 
< 0.1%
21
 
< 0.1%
81
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII43612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
043609
> 99.9%
11
 
< 0.1%
21
 
< 0.1%
81
 
< 0.1%

Error 3
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0
43610 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters43610
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
043610
100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
043610
100.0%

Most occurring characters

ValueCountFrequency (%)
043610
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number43610
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
043610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common43610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
043610
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII43610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
043610
100.0%

Max cell voltage
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct359
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3423.256317
Minimum3196
Maximum3903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum3196
5-th percentile3292
Q13330
median3453
Q33495
95-th percentile3539
Maximum3903
Range707
Interquartile range (IQR)165

Descriptive statistics

Standard deviation87.61674867
Coefficient of variation (CV)0.02559456276
Kurtosis-0.7807918633
Mean3423.256317
Median Absolute Deviation (MAD)65
Skewness-0.04732994177
Sum149288208
Variance7676.694648
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33302561
 
5.9%
33281693
 
3.9%
33271076
 
2.5%
3325641
 
1.5%
3324486
 
1.1%
3492444
 
1.0%
3459442
 
1.0%
3451441
 
1.0%
3489439
 
1.0%
3486438
 
1.0%
Other values (349)34949
80.1%
ValueCountFrequency (%)
31961
 
< 0.1%
32151
 
< 0.1%
32162
< 0.1%
32272
< 0.1%
32283
< 0.1%
32303
< 0.1%
32313
< 0.1%
32333
< 0.1%
32342
< 0.1%
32362
< 0.1%
ValueCountFrequency (%)
39031
< 0.1%
38711
< 0.1%
38691
< 0.1%
38562
< 0.1%
38511
< 0.1%
38502
< 0.1%
38481
< 0.1%
38431
< 0.1%
38422
< 0.1%
38401
< 0.1%

Min cell voltage
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct328
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3403.001192
Minimum3087
Maximum3689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum3087
5-th percentile3277
Q13325
median3434
Q33471
95-th percentile3506
Maximum3689
Range602
Interquartile range (IQR)146

Descriptive statistics

Standard deviation80.45140907
Coefficient of variation (CV)0.02364131087
Kurtosis-1.020284781
Mean3403.001192
Median Absolute Deviation (MAD)60
Skewness-0.343639148
Sum148404882
Variance6472.429222
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33271795
 
4.1%
33251750
 
4.0%
33241723
 
4.0%
3322739
 
1.7%
3483525
 
1.2%
3443514
 
1.2%
3468512
 
1.2%
3440504
 
1.2%
3459503
 
1.2%
3475501
 
1.1%
Other values (318)34544
79.2%
ValueCountFrequency (%)
30871
< 0.1%
31121
< 0.1%
31211
< 0.1%
31221
< 0.1%
31251
< 0.1%
31271
< 0.1%
31311
< 0.1%
31392
< 0.1%
31421
< 0.1%
31431
< 0.1%
ValueCountFrequency (%)
36891
< 0.1%
36871
< 0.1%
36861
< 0.1%
36771
< 0.1%
36591
< 0.1%
36572
< 0.1%
36541
< 0.1%
36501
< 0.1%
36451
< 0.1%
36422
< 0.1%

Average cell voltage
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct518
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3417.115341
Minimum3166
Maximum3844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum3166
5-th percentile3286
Q13327
median3448
Q33490
95-th percentile3532
Maximum3844
Range678
Interquartile range (IQR)163

Descriptive statistics

Standard deviation87.4150457
Coefficient of variation (CV)0.02558153208
Kurtosis-0.974895074
Mean3417.115341
Median Absolute Deviation (MAD)68
Skewness-0.08876444725
Sum149020400
Variance7641.390214
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33281849
 
4.2%
33251422
 
3.3%
3326946
 
2.2%
3327844
 
1.9%
3324529
 
1.2%
3322396
 
0.9%
3323381
 
0.9%
3447334
 
0.8%
3456301
 
0.7%
3484300
 
0.7%
Other values (508)36308
83.3%
ValueCountFrequency (%)
31661
< 0.1%
31871
< 0.1%
31881
< 0.1%
31941
< 0.1%
31991
< 0.1%
32001
< 0.1%
32031
< 0.1%
32041
< 0.1%
32061
< 0.1%
32071
< 0.1%
ValueCountFrequency (%)
38441
< 0.1%
38281
< 0.1%
38271
< 0.1%
38201
< 0.1%
38151
< 0.1%
38121
< 0.1%
38032
< 0.1%
38021
< 0.1%
38012
< 0.1%
37991
< 0.1%

Pack voltage
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7854
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88864.79892
Minimum82360
Maximum99980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum82360
5-th percentile85450
Q186523
median89683
Q390760
95-th percentile91834
Maximum99980
Range17620
Interquartile range (IQR)4237

Descriptive statistics

Standard deviation2266.704543
Coefficient of variation (CV)0.0255073389
Kurtosis-0.9734137719
Mean88864.79892
Median Absolute Deviation (MAD)1756
Skewness-0.09089902157
Sum3875393881
Variance5137949.484
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86554548
 
1.3%
86515359
 
0.8%
86567222
 
0.5%
86502175
 
0.4%
86517167
 
0.4%
86541167
 
0.4%
86552164
 
0.4%
86476130
 
0.3%
86565110
 
0.3%
86501103
 
0.2%
Other values (7844)41465
95.1%
ValueCountFrequency (%)
823601
< 0.1%
829091
< 0.1%
829261
< 0.1%
830791
< 0.1%
832411
< 0.1%
832451
< 0.1%
832681
< 0.1%
833561
< 0.1%
833581
< 0.1%
833651
< 0.1%
ValueCountFrequency (%)
999801
< 0.1%
995981
< 0.1%
995161
< 0.1%
993111
< 0.1%
992011
< 0.1%
991211
< 0.1%
989171
< 0.1%
988981
< 0.1%
988851
< 0.1%
988761
< 0.1%

Charge current
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct767
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13415.02371
Minimum0
Maximum239168
Zeros40550
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile195200
Maximum239168
Range239168
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50862.52772
Coefficient of variation (CV)3.791460144
Kurtosis11.30977263
Mean13415.02371
Median Absolute Deviation (MAD)0
Skewness3.623103225
Sum585029184
Variance2586996726
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
040550
93.0%
21043247
 
0.1%
21017647
 
0.1%
21292837
 
0.1%
20921636
 
0.1%
20940836
 
0.1%
21222433
 
0.1%
21216033
 
0.1%
21024032
 
0.1%
21132831
 
0.1%
Other values (757)2728
 
6.3%
ValueCountFrequency (%)
040550
93.0%
6401
 
< 0.1%
16001
 
< 0.1%
17281
 
< 0.1%
23681
 
< 0.1%
24961
 
< 0.1%
26241
 
< 0.1%
28801
 
< 0.1%
30081
 
< 0.1%
32001
 
< 0.1%
ValueCountFrequency (%)
2391681
 
< 0.1%
2391042
 
< 0.1%
2384641
 
< 0.1%
2382725
< 0.1%
23814412
< 0.1%
2380804
 
< 0.1%
23763210
< 0.1%
2375688
< 0.1%
2373763
 
< 0.1%
2373127
< 0.1%

Discharge current
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2253
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13573.54001
Minimum0
Maximum812992
Zeros19376
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median320
Q3768
95-th percentile100224
Maximum812992
Range812992
Interquartile range (IQR)768

Descriptive statistics

Standard deviation56882.31565
Coefficient of variation (CV)4.190676536
Kurtosis32.9919536
Mean13573.54001
Median Absolute Deviation (MAD)320
Skewness5.358115811
Sum591942080
Variance3235597833
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019376
44.4%
3205175
 
11.9%
6403741
 
8.6%
7042815
 
6.5%
8962440
 
5.6%
7681711
 
3.9%
8321479
 
3.4%
384630
 
1.4%
4160409
 
0.9%
4672295
 
0.7%
Other values (2243)5539
 
12.7%
ValueCountFrequency (%)
019376
44.4%
3205175
 
11.9%
384630
 
1.4%
5124
 
< 0.1%
576171
 
0.4%
6403741
 
8.6%
7042815
 
6.5%
7681711
 
3.9%
8321479
 
3.4%
8962440
 
5.6%
ValueCountFrequency (%)
8129921
< 0.1%
7443201
< 0.1%
6899201
< 0.1%
6625281
< 0.1%
6569601
< 0.1%
6545921
< 0.1%
6543361
< 0.1%
6436481
< 0.1%
6275201
< 0.1%
6273281
< 0.1%

Max battery temperature
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct224
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.91906902
Minimum19.8
Maximum42.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum19.8
5-th percentile24.3
Q129.3
median32.4
Q335.1
95-th percentile37.9
Maximum42.1
Range22.3
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation4.265089358
Coefficient of variation (CV)0.1336219849
Kurtosis-0.272401358
Mean31.91906902
Median Absolute Deviation (MAD)2.8
Skewness-0.4138207324
Sum1391990.6
Variance18.19098723
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.5711
 
1.6%
32.3622
 
1.4%
35.1619
 
1.4%
33.3609
 
1.4%
36.1594
 
1.4%
34.3573
 
1.3%
31.6567
 
1.3%
33.2550
 
1.3%
36.3540
 
1.2%
35.7523
 
1.2%
Other values (214)37702
86.5%
ValueCountFrequency (%)
19.815
< 0.1%
19.937
0.1%
2021
< 0.1%
20.134
0.1%
20.225
0.1%
20.324
0.1%
20.427
0.1%
20.531
0.1%
20.623
0.1%
20.718
< 0.1%
ValueCountFrequency (%)
42.11
 
< 0.1%
4247
0.1%
41.923
0.1%
41.840
0.1%
41.726
0.1%
41.633
0.1%
41.523
0.1%
41.437
0.1%
41.324
0.1%
41.246
0.1%

Min battery temperature
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct193
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.88163495
Minimum18.1
Maximum39.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum18.1
5-th percentile22
Q127.7
median30.6
Q332.7
95-th percentile35.6
Maximum39.5
Range21.4
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.109897653
Coefficient of variation (CV)0.1375392498
Kurtosis-0.09928162254
Mean29.88163495
Median Absolute Deviation (MAD)2.5
Skewness-0.5938737677
Sum1303138.1
Variance16.89125872
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.61250
 
2.9%
32.61099
 
2.5%
29.61051
 
2.4%
34.11020
 
2.3%
32.1961
 
2.2%
30.6949
 
2.2%
31.1931
 
2.1%
28.1903
 
2.1%
30.1768
 
1.8%
31.5738
 
1.7%
Other values (183)33940
77.8%
ValueCountFrequency (%)
18.142
0.1%
18.244
0.1%
18.440
0.1%
18.531
0.1%
18.663
0.1%
18.734
0.1%
18.930
0.1%
1928
0.1%
19.147
0.1%
19.222
 
0.1%
ValueCountFrequency (%)
39.525
0.1%
39.329
0.1%
39.223
0.1%
39.139
0.1%
3917
 
< 0.1%
38.819
 
< 0.1%
38.715
 
< 0.1%
38.630
0.1%
38.515
 
< 0.1%
38.349
0.1%

Average battery temperature
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct220
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.96066499
Minimum18.9
Maximum40.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum18.9
5-th percentile23.2
Q128.5
median31.7
Q334
95-th percentile36.9
Maximum40.8
Range21.9
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.231850528
Coefficient of variation (CV)0.1366847427
Kurtosis-0.1863139025
Mean30.96066499
Median Absolute Deviation (MAD)2.6
Skewness-0.5135354765
Sum1350194.6
Variance17.90855889
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.3653
 
1.5%
34627
 
1.4%
31.9613
 
1.4%
34.1597
 
1.4%
33.5579
 
1.3%
33569
 
1.3%
31.8566
 
1.3%
32.9547
 
1.3%
35536
 
1.2%
32.4533
 
1.2%
Other values (210)37790
86.7%
ValueCountFrequency (%)
18.917
 
< 0.1%
1947
0.1%
19.130
0.1%
19.236
0.1%
19.329
0.1%
19.437
0.1%
19.534
0.1%
19.618
 
< 0.1%
19.732
0.1%
19.823
0.1%
ValueCountFrequency (%)
40.841
0.1%
40.732
0.1%
40.621
< 0.1%
40.524
0.1%
40.414
 
< 0.1%
40.316
 
< 0.1%
40.217
 
< 0.1%
40.117
 
< 0.1%
4033
0.1%
39.945
0.1%

Max board temperature
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct411
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.57593213
Minimum23.4
Maximum64.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum23.4
5-th percentile27.7
Q132.5
median35.6
Q342.2
95-th percentile58.6
Maximum64.8
Range41.4
Interquartile range (IQR)9.7

Descriptive statistics

Standard deviation9.339876552
Coefficient of variation (CV)0.2421166784
Kurtosis0.05379133115
Mean38.57593213
Median Absolute Deviation (MAD)3.8
Skewness1.016333153
Sum1682296.4
Variance87.23329401
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.7634
 
1.5%
32.5516
 
1.2%
34.3493
 
1.1%
32.2438
 
1.0%
34.5431
 
1.0%
32.4420
 
1.0%
34.1420
 
1.0%
36.2419
 
1.0%
33.8414
 
0.9%
32.3410
 
0.9%
Other values (401)39015
89.5%
ValueCountFrequency (%)
23.418
 
< 0.1%
23.519
 
< 0.1%
23.612
 
< 0.1%
23.753
0.1%
23.849
0.1%
23.954
0.1%
2436
0.1%
24.137
0.1%
24.260
0.1%
24.328
0.1%
ValueCountFrequency (%)
64.81
 
< 0.1%
64.71
 
< 0.1%
64.52
 
< 0.1%
64.45
< 0.1%
64.22
 
< 0.1%
64.13
< 0.1%
63.91
 
< 0.1%
63.83
< 0.1%
63.67
< 0.1%
63.54
< 0.1%

Min board temperature
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct398
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.51407934
Minimum23.2
Maximum63.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum23.2
5-th percentile27.245
Q132.1
median35.1
Q340.2
95-th percentile57.6
Maximum63.1
Range39.9
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation8.576949211
Coefficient of variation (CV)0.2286328057
Kurtosis0.6582115508
Mean37.51407934
Median Absolute Deviation (MAD)3.4
Skewness1.146020483
Sum1635989
Variance73.56405777
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.1657
 
1.5%
32.3498
 
1.1%
34.7491
 
1.1%
33.8479
 
1.1%
35.1440
 
1.0%
32.9426
 
1.0%
34.5423
 
1.0%
28.3422
 
1.0%
34.6418
 
1.0%
33.7411
 
0.9%
Other values (388)38945
89.3%
ValueCountFrequency (%)
23.230
0.1%
23.348
0.1%
23.446
0.1%
23.554
0.1%
23.641
0.1%
23.749
0.1%
23.854
0.1%
23.935
0.1%
2427
0.1%
24.123
0.1%
ValueCountFrequency (%)
63.11
 
< 0.1%
62.81
 
< 0.1%
62.75
< 0.1%
62.61
 
< 0.1%
62.52
 
< 0.1%
62.410
< 0.1%
62.33
 
< 0.1%
62.211
< 0.1%
62.110
< 0.1%
6211
< 0.1%

Average board temperature
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct402
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.04512268
Minimum23.3
Maximum63.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum23.3
5-th percentile27.5
Q132.3
median35.4
Q341.2
95-th percentile58.1
Maximum63.5
Range40.2
Interquartile range (IQR)8.9

Descriptive statistics

Standard deviation8.913700388
Coefficient of variation (CV)0.2342928544
Kurtosis0.3287783567
Mean38.04512268
Median Absolute Deviation (MAD)3.7
Skewness1.068108354
Sum1659147.8
Variance79.45405461
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.3518
 
1.2%
32.5502
 
1.2%
34.7460
 
1.1%
34449
 
1.0%
28.5439
 
1.0%
34.8425
 
1.0%
34.6417
 
1.0%
33.9415
 
1.0%
32.6413
 
0.9%
32.4400
 
0.9%
Other values (392)39172
89.8%
ValueCountFrequency (%)
23.326
0.1%
23.413
 
< 0.1%
23.547
0.1%
23.646
0.1%
23.753
0.1%
23.843
0.1%
23.949
0.1%
2453
0.1%
24.133
0.1%
24.223
0.1%
ValueCountFrequency (%)
63.51
 
< 0.1%
63.42
 
< 0.1%
63.21
 
< 0.1%
63.13
 
< 0.1%
632
 
< 0.1%
62.95
< 0.1%
62.86
< 0.1%
62.79
< 0.1%
62.611
< 0.1%
62.56
< 0.1%

Remaining capacity
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4482
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716097.03
Minimum257600
Maximum766144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum257600
5-th percentile517817.6
Q1708736
median761408
Q3763456
95-th percentile765056
Maximum766144
Range508544
Interquartile range (IQR)54720

Descriptive statistics

Standard deviation85750.57326
Coefficient of variation (CV)0.1197471427
Kurtosis5.473236081
Mean716097.03
Median Absolute Deviation (MAD)3520
Skewness-2.346026867
Sum3.122899148 × 1010
Variance7353160814
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
763904611
 
1.4%
762752578
 
1.3%
763968574
 
1.3%
762624562
 
1.3%
763008548
 
1.3%
763456525
 
1.2%
763136509
 
1.2%
764608506
 
1.2%
763520497
 
1.1%
762880470
 
1.1%
Other values (4472)38230
87.7%
ValueCountFrequency (%)
2576003
< 0.1%
2580481
 
< 0.1%
2589441
 
< 0.1%
2593921
 
< 0.1%
2607361
 
< 0.1%
2616961
 
< 0.1%
2638081
 
< 0.1%
2649601
 
< 0.1%
2688641
 
< 0.1%
2707201
 
< 0.1%
ValueCountFrequency (%)
76614462
 
0.1%
76608031
 
0.1%
76601685
 
0.2%
76595235
 
0.1%
765888101
0.2%
765824142
0.3%
765760121
0.3%
765696215
0.5%
765632148
0.3%
765568145
0.3%

Full Charge Capacity
Real number (ℝ≥0)

HIGH CORRELATION

Distinct149
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean763995.4154
Minimum762176
Maximum782912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum762176
5-th percentile762624
Q1763008
median763904
Q3764800
95-th percentile765824
Maximum782912
Range20736
Interquartile range (IQR)1792

Descriptive statistics

Standard deviation1197.288972
Coefficient of variation (CV)0.001567141566
Kurtosis25.58003877
Mean763995.4154
Median Absolute Deviation (MAD)896
Skewness2.470001584
Sum3.331784006 × 1010
Variance1433500.882
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7639684128
 
9.5%
7656962856
 
6.5%
7627522635
 
6.0%
7634562582
 
5.9%
7646082424
 
5.6%
7626242387
 
5.5%
7639042235
 
5.1%
7630082134
 
4.9%
7628801657
 
3.8%
7646721642
 
3.8%
Other values (139)18930
43.4%
ValueCountFrequency (%)
762176147
 
0.3%
762240158
 
0.4%
762304269
 
0.6%
762368104
 
0.2%
76243254
 
0.1%
762496358
 
0.8%
762560509
 
1.2%
7626242387
5.5%
762688825
 
1.9%
7627522635
6.0%
ValueCountFrequency (%)
7829121
< 0.1%
7828481
< 0.1%
7826561
< 0.1%
7823361
< 0.1%
7819521
< 0.1%
7815041
< 0.1%
7811201
< 0.1%
7807361
< 0.1%
7802881
< 0.1%
7799041
< 0.1%

SoC
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct68
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.08842009
Minimum33
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum33
5-th percentile67
Q192
median99
Q399
95-th percentile100
Maximum100
Range67
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.14487702
Coefficient of variation (CV)0.1197235598
Kurtosis5.577778545
Mean93.08842009
Median Absolute Deviation (MAD)0
Skewness-2.368348387
Sum4059586
Variance124.2082839
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9922361
51.3%
1002841
 
6.5%
981715
 
3.9%
951701
 
3.9%
961271
 
2.9%
941258
 
2.9%
87860
 
2.0%
93823
 
1.9%
92811
 
1.9%
79794
 
1.8%
Other values (58)9175
21.0%
ValueCountFrequency (%)
335
 
< 0.1%
345
 
< 0.1%
354
 
< 0.1%
365
 
< 0.1%
3716
< 0.1%
388
< 0.1%
3912
< 0.1%
404
 
< 0.1%
4112
< 0.1%
4216
< 0.1%
ValueCountFrequency (%)
1002841
 
6.5%
9922361
51.3%
981715
 
3.9%
97571
 
1.3%
961271
 
2.9%
951701
 
3.9%
941258
 
2.9%
93823
 
1.9%
92811
 
1.9%
91476
 
1.1%

SoH
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
100
43610 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters130830
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
10043610
100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
10043610
100.0%

Most occurring characters

ValueCountFrequency (%)
087220
66.7%
143610
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number130830
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
087220
66.7%
143610
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common130830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
087220
66.7%
143610
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII130830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
087220
66.7%
143610
33.3%

GO detail
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
16
22241 
21
14103 
18
7251 
19
 
13
17
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters87220
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16
2nd row16
3rd row16
4th row16
5th row16

Common Values

ValueCountFrequency (%)
1622241
51.0%
2114103
32.3%
187251
 
16.6%
1913
 
< 0.1%
172
 
< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
1622241
51.0%
2114103
32.3%
187251
 
16.6%
1913
 
< 0.1%
172
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
143610
50.0%
622241
25.5%
214103
 
16.2%
87251
 
8.3%
913
 
< 0.1%
72
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number87220
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
143610
50.0%
622241
25.5%
214103
 
16.2%
87251
 
8.3%
913
 
< 0.1%
72
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common87220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
143610
50.0%
622241
25.5%
214103
 
16.2%
87251
 
8.3%
913
 
< 0.1%
72
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII87220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143610
50.0%
622241
25.5%
214103
 
16.2%
87251
 
8.3%
913
 
< 0.1%
72
 
< 0.1%

Control detail 1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
224
22160 
130
14103 
225
7260 
228
 
87

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters130830
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row224
2nd row224
3rd row224
4th row224
5th row224

Common Values

ValueCountFrequency (%)
22422160
50.8%
13014103
32.3%
2257260
 
16.6%
22887
 
0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
22422160
50.8%
13014103
32.3%
2257260
 
16.6%
22887
 
0.2%

Most occurring characters

ValueCountFrequency (%)
259014
45.1%
422160
 
16.9%
114103
 
10.8%
314103
 
10.8%
014103
 
10.8%
57260
 
5.5%
887
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number130830
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
259014
45.1%
422160
 
16.9%
114103
 
10.8%
314103
 
10.8%
014103
 
10.8%
57260
 
5.5%
887
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common130830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
259014
45.1%
422160
 
16.9%
114103
 
10.8%
314103
 
10.8%
014103
 
10.8%
57260
 
5.5%
887
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII130830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259014
45.1%
422160
 
16.9%
114103
 
10.8%
314103
 
10.8%
014103
 
10.8%
57260
 
5.5%
887
 
0.1%

Control detail 2
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0
43610 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters43610
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
043610
100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
043610
100.0%

Most occurring characters

ValueCountFrequency (%)
043610
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number43610
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
043610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common43610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
043610
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII43610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
043610
100.0%

Max charge current
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct99
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.0980738
Minimum36
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size340.8 KiB

Quantile statistics

Minimum36
5-th percentile87
Q1140
median308
Q3320
95-th percentile320
Maximum320
Range284
Interquartile range (IQR)180

Descriptive statistics

Standard deviation93.770716
Coefficient of variation (CV)0.3889318339
Kurtosis-1.272833273
Mean241.0980738
Median Absolute Deviation (MAD)12
Skewness-0.6355294948
Sum10514287
Variance8792.947179
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32021188
48.6%
114702
 
1.6%
109669
 
1.5%
104631
 
1.4%
99511
 
1.2%
148446
 
1.0%
284445
 
1.0%
164435
 
1.0%
176433
 
1.0%
316431
 
1.0%
Other values (89)17719
40.6%
ValueCountFrequency (%)
36263
0.6%
3710
 
< 0.1%
3913
 
< 0.1%
405
 
< 0.1%
419
 
< 0.1%
4212
 
< 0.1%
4410
 
< 0.1%
458
 
< 0.1%
4613
 
< 0.1%
4717
 
< 0.1%
ValueCountFrequency (%)
32021188
48.6%
316431
 
1.0%
3151
 
< 0.1%
308318
 
0.7%
304414
 
0.9%
296411
 
0.9%
292319
 
0.7%
284445
 
1.0%
280426
 
1.0%
2761
 
< 0.1%

Max discharge current
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
2000
43610 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters174440
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2000
2nd row2000
3rd row2000
4th row2000
5th row2000

Common Values

ValueCountFrequency (%)
200043610
100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
200043610
100.0%

Most occurring characters

ValueCountFrequency (%)
0130830
75.0%
243610
 
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number174440
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0130830
75.0%
243610
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common174440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0130830
75.0%
243610
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII174440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0130830
75.0%
243610
 
25.0%

Accel-X (mg)
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0.0
43610 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters130830
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.043610
100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
0.043610
100.0%

Most occurring characters

ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number87220
66.7%
Other Punctuation43610
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
087220
100.0%
Other Punctuation
ValueCountFrequency (%)
.43610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common130830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII130830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Accel-Y (mg)
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0.0
43610 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters130830
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.043610
100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
0.043610
100.0%

Most occurring characters

ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number87220
66.7%
Other Punctuation43610
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
087220
100.0%
Other Punctuation
ValueCountFrequency (%)
.43610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common130830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII130830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Accel-Z (mg)
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size340.8 KiB
0.0
43610 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters130830
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.043610
100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
0.043610
100.0%

Most occurring characters

ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number87220
66.7%
Other Punctuation43610
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
087220
100.0%
Other Punctuation
ValueCountFrequency (%)
.43610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common130830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII130830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
087220
66.7%
.43610
33.3%

Interactions

Correlations

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

timeWarning 1Warning 2Warning 3Error 1Error 2Error 3Max cell voltageMin cell voltageAverage cell voltagePack voltageCharge currentDischarge currentMax battery temperatureMin battery temperatureAverage battery temperatureMax board temperatureMin board temperatureAverage board temperatureRemaining capacityFull Charge CapacitySoCSoHGO detailControl detail 1Control detail 2Max charge currentMax discharge currentAccel-X (mg)Accel-Y (mg)Accel-Z (mg)
02022-05-13 00:00:02000000352134863516913910038.535.637.258.457.758.07656327656969910016224010220000.00.00.0
12022-05-13 00:01:02000000352134863515913860038.535.637.259.158.358.77656327656969910016224010220000.00.00.0
22022-05-13 00:02:02000000352134863515913890038.535.637.260.259.659.97656327656969910016224010220000.00.00.0
32022-05-13 00:03:02000000352134843515913710038.435.637.160.259.259.77656327656969910016224010220000.00.00.0
42022-05-13 00:04:02000000351934843514913630038.535.637.259.258.658.97656327656969910016224010220000.00.00.0
52022-05-13 00:05:02000000351934863514913610038.535.637.158.458.058.27656327656969910016224010420000.00.00.0
62022-05-13 00:06:02000000351934863514913260038.435.637.158.258.258.27656327656969910016224010420000.00.00.0
72022-05-13 00:07:02000000351934843514913480038.435.637.158.458.358.47656327656969910016224010420000.00.00.0
82022-05-13 00:08:02000000351834843513913380038.435.637.158.658.158.47656327656969910016224010420000.00.00.0
92022-05-13 00:09:02000000351834843513913230038.435.537.158.357.758.07656327656969910016224010420000.00.00.0

Last rows

timeWarning 1Warning 2Warning 3Error 1Error 2Error 3Max cell voltageMin cell voltageAverage cell voltagePack voltageCharge currentDischarge currentMax battery temperatureMin battery temperatureAverage battery temperatureMax board temperatureMin board temperatureAverage board temperatureRemaining capacityFull Charge CapacitySoCSoHGO detailControl detail 1Control detail 2Max charge currentMax discharge currentAccel-X (mg)Accel-Y (mg)Accel-Z (mg)
436002022-05-07 23:50:0200000033463339334386933083232.030.931.534.434.134.37274887626889510018225032020000.00.00.0
436012022-05-07 23:51:0200000033463339334286935083232.030.931.534.434.034.27274887626889510018225032020000.00.00.0
436022022-05-07 23:52:0200000033463339334386934083232.130.931.534.434.034.27274247626889510018225032020000.00.00.0
436032022-05-07 23:53:0200000033463339334286933083232.030.931.534.434.034.27274247626889510018225032020000.00.00.0
436042022-05-07 23:54:0200000033453339334386931089632.030.931.534.434.034.27274247626889510018225032020000.00.00.0
436052022-05-07 23:55:0200000033463339334386934089632.030.931.534.434.034.27274247626889510018225032020000.00.00.0
436062022-05-07 23:56:0200000033463339334286933089632.030.931.534.434.034.27273607626889510018225032020000.00.00.0
436072022-05-07 23:57:0200000033453339334286931083232.030.931.534.434.034.27273607626889510018225032020000.00.00.0
436082022-05-07 23:58:0200000033463339334286932083232.030.731.534.434.034.27273607626889510018225032020000.00.00.0
436092022-05-07 23:59:0200000033453339334386931083232.030.731.534.434.034.27273607626889510018225032020000.00.00.0